Electromembrane Extraction in Suspect Screening of Polar Organic Xenobiotics and their Metabolites in Human Urine: A New Approach to Enhance Compound Annotation?

Suspect and nontarget screening (SNTS) methodologies using human urine are invaluable strategies for understanding the human exposome. However, very polar organic compounds are often overlooked in those methods due to challenges in sample preparation and chromatographic analysis. Although "dilute-and-shoot" (DS) followed by mixed-mode liquid chromatography-high-resolution mass spectrometry (MMLC-HRMS) might be deemed suitable, complementary strategies are needed to enhance SNTS and expand compound identification. In this context, the potential of nonsupported microelectromembrane extraction (μ-EME) is thoroughly studied as a supplement to DS-MMLC-HRMS. It was demonstrated that μ-EME-MMLC-HRMS enables the refinement of suspect screening results from a 24 h pooled human urine sample. The selective extraction capability of μ-EME for charged analytes, compared to DS, allowed the identification of 24 false positives and 4 false negatives. The confidence level of 6 suspects was also enhanced through μ-EME interpretation. Moreover, nine suspects were identified exclusively in μ-EME experiments due to the urine cleanup provided by that technique. Notably, suspects containing carboxylic acid groups (phase II metabolites) and amines were particularly well-annotated by μ-EME employing selective extraction conditions for acids and bases, respectively. Thus, μ-EME proves to be a confirmatory dimension in MMLC-based SNTS approaches.

Authors

Institutions

Publication Details

Journal
Analytical Chemistry
Published
2025-04-29
DOI
https://doi.org/10.1021/acs.analchem.4c06118
Citations
2
Primary Topic
Advanced Chemical Sensor Technologies
Type
article
Field-Weighted Citation Impact
1.35

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Electromembrane Extraction in Suspect Screening of Polar Organic Xenobiotics and their Metabolites in Human Urine: A New Approach to Enhance Compound Annotation?

Maitane Olivares, Ali Sahragard, Manuel Miró, Olatz Zuloaga et al.
2 citations
Analytical Chemistry
Advanced Chemical Sensor Technologies
1.35
article

Electromembrane Extraction in Suspect Screening of Polar Organic Xenobiotics and their Metabolites in Human Urine: A New Approach to Enhance Compound Annotation?

Maitane Olivares, Ali Sahragard, Manuel Miró, Olatz Zuloaga, Mikel Musatadi, Eneritz Anakabe, Néstor Etxebarría
article en
2 citations

Abstract

Suspect and nontarget screening (SNTS) methodologies using human urine are invaluable strategies for understanding the human exposome. However, very polar organic compounds are often overlooked in those methods due to challenges in sample preparation and chromatographic analysis. Although "dilute-and-shoot" (DS) followed by mixed-mode liquid chromatography-high-resolution mass spectrometry (MMLC-HRMS) might be deemed suitable, complementary strategies are needed to enhance SNTS and expand compound identification. In this context, the potential of nonsupported microelectromembrane extraction (μ-EME) is thoroughly studied as a supplement to DS-MMLC-HRMS. It was demonstrated that μ-EME-MMLC-HRMS enables the refinement of suspect screening results from a 24 h pooled human urine sample. The selective extraction capability of μ-EME for charged analytes, compared to DS, allowed the identification of 24 false positives and 4 false negatives. The confidence level of 6 suspects was also enhanced through μ-EME interpretation. Moreover, nine suspects were identified exclusively in μ-EME experiments due to the urine cleanup provided by that technique. Notably, suspects containing carboxylic acid groups (phase II metabolites) and amines were particularly well-annotated by μ-EME employing selective extraction conditions for acids and bases, respectively. Thus, μ-EME proves to be a confirmatory dimension in MMLC-based SNTS approaches.

Analytical ChemistryVol. 97(18)
University of the Basque Country (ES), Tracer Technologies (United States) (US), Marine Research Centre (MV), Universitat de les Illes Balears (ES)
Eusko Jaurlaritza, Govern de les Illes Balears, Agencia Estatal de Investigación
Zero hunger
Openalex Percentile: Top 21%
Advanced Chemical Sensor Technologies
1.35
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.